Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use xiaoyi-fastlabs/distilhubert-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use xiaoyi-fastlabs/distilhubert-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="xiaoyi-fastlabs/distilhubert-finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("xiaoyi-fastlabs/distilhubert-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("xiaoyi-fastlabs/distilhubert-finetuned-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65a0c691c84a3b37633b74f0a201ab5e27deb67d20c72984d47ebbfb482cf411
- Size of remote file:
- 5.37 kB
- SHA256:
- 796c64d8705d5da28e322fee5591cb9d98977f155f267c2bbbc00811b865a9c9
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